MindStudio

Lovable

Claude

ChatGPT

OpenClaw

Sol Farahmand

🥇AI Hackathon Winner | 2X Entrepreneur | AI Workflow Builder

Build a Lead-Gen AI Chat Bubble With MindStudio & Lovable

L3 Certified @ MindStudio | #1 AI Hackathon Winner | AI Agent Builder

Learn how to integrate a MindStudio AI Agent into a Lovable website to power a live AI chat bubble.

Connect MindStudio to a Lovable Website

Choose the best models and prompts for fast, affordable, and high-quality AI chat responses.

Optimize AI Chat Performance and Quality

Apply security best practices to prevent prompt injection and unwanted AI behavior.

Deploy a Secure Production-Ready AI Chat Bubble

Learn how to structure your AI chat bubble to capture leads and qualify visitors automatically.

Use AI Chat to Capture and Qualify Leads

Walk away with resources to help you succeed.

Resources

We show you what's possible with AI, then take you there.

Founder | Meta/Amazon/Statsig/Tencent

Statsig

Amazon

Boston Consulting Group (BCG)

Tencent Games

Yuzheng Sun, PhD

Prev. Evangelist @ Statsig (Acq. by OpenAI), AI Director @ Tencent; Meta/Amazon

Applied Scientist | yage.ai

Yan Wang, PhD

Applied Scientist @ Samsara | Olympic Torchbearer | Ex Pinterest/Microsoft | Ex Tech blogger with 100k+ subscribers

Cohort 12

Cohort 13

Is this you?<ul><li>Chatting endlessly with an “AI intern” instead of designing the context with clear principles.</li><li>Blaming “hallucinations” when the real issue is poor orchestration.</li><li>Trying to run an entire project from a single, overloaded chat window.</li><li>Treating AI like witchcraft and prompt spells instead of engineering.</li></ul>AI gets better every day. But when it’s time to ship something serious, you don’t yet have a reliable way to make AI show up for you.The problem isn’t AI. It’s how you’re using it. This course exists for that exact gap.AI is a new computing paradigm. To use it well, you have to:<ul><li>Unlearn old patterns</li><li>Install new mindsets and habits</li><li>Build a meta-learning system that can carry your career for the next 20 years</li></ul>That's hard, and we take it seriously. This course is designed to teach you how to fish. On top of lessons and projects, we built two unique tools:<ol><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://youtu.be/dXjcy6XSN_Y">A build platform</a> that consolidates key APIs and lets you deploy your projects with one command—so you can build fast, not fight boilerplate.</li><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.superlinear.academy/c/share-your-projects/">A lifetime community</a> where you can share projects, ask questions, and get unstuck long after the course ends.</li></ol>The end of our course is the beginning of your learning, and we will be with you.

Learn AI for the Next 20 Years, Not the Next 20 Days

Engineer Robust Context to Eliminate Hallucinations

Curate "Sterile" Contexts for Peak AI Performance

Architect Multi-Agent Systems to Conquer Complexity

Define Success Criteria to Transmute from Operator to Manager

Build "White-Box" Evaluation Tools to Visualize Quality

Design Self-Healing Loops for Autonomous Optimization

Software Engineers &amp; Developers Ready to build reliable, scalable AI systems integrated into production workflows.

Technical Product Managers &amp; Strategists Seeking the hands-on knowledge to scope, architect, and guide AI initiatives with confidence.

Data Professionals &amp; Automation Experts Who want to transform proof-of-concept scripts into durable applications that multiply productivity.

Build robust LLM-powered apps, chatbots, and agents. Learn by writing real code, one line at a time.

CEO @ Actualize

Jay Wengrow

Software Engineer and Educator, Author of A Common-Sense Guide to AI Engineering

Cohort 1

Cohort 2

Do you have a grasp of basic LLM principles but struggle to put it all into code? Tired of scattered documentation, outdated tutorials, and frameworks that impress in demos but collapse in production?You’re not alone. Building with large language models doesn’t have to be confusing - it can be clear, structured, and deeply rewarding.In this course, you’ll build real LLM-powered apps, one line of code at a time. You'll see how an app is built from scratch in real time, and follow along. Along the way, you'll discover not only how to implement these systems, but the why behind each line of code.From chatbots to agents and RAG to evals, you’ll learn the core concepts of building atop LLMs. More importantly, you’ll get how LLMs “think” - allowing you to guide them to do what you want despite their nondeterministic nature. Additionally, you’ll be able to balance quality, latency, and cost, making big-picture decisions about AI-powered app architecture.AI engineering isn’t just another branch of software development - it’s a different mindset altogether.

Gain hands-on AI Engineering proficiency by writing real code

Gain real-world intuition for working with LLMs

Reliably guide LLMs instead of getting unpredictable results.

Build retrieval-augmented assistants that can access proprietary knowledge

Use evals to systematically optimize your LLM app’s performance over time

Assemble agents that act upon the real world

This course is designed for current software engineers who will use Python  to build LLM-powered apps. We won't teach basic coding here.

Software Engineering

We'll be using Python, but we'll keep it simple in case you're more familiar with other coding languages.

Note about Python

If you want an inside look at what's involved with building AI apps but don't plan on coding yourself, you'll still follow what's going on.

Exception: Product Managers

Software engineers who want to build LLM-powered chatbots and agents, or break into AI engineering more generally

Data Scientists/Engineers who want to build their own LLM-powered apps

Product Managers who want to understand AI engineering from the coding perspective

Build and launch a website with payments using Lovable in 4 hours

AI Educator 

HSBC

Morgan Stanley

Altaf Rehmani

Digital Solutions Architect HSBC | Ex-Morgan Stanley

Website Launch Lab: Build & Get Paid Live

Everyone has ideas—but very few actually launch.Most people get stuck learning tools, watching tutorials, and still don’t have a live website or a way to accept payments.That’s the real problem—too much theory, no execution.This workshop fixes that using Lovable.In just 4 hours, you will go from idea to a live personal website with a working payment system—step-by-step.No coding. No confusion. Just building.You will:<ul><li>Build your personal website using Lovable</li><li>Integrate a working payment system</li><li>Launch something real you can share or monetize</li></ul>This is fully hands-on. You won’t just watch—you will build everything live.AI tools like Lovable have made building faster than ever. The real advantage now is execution.If you want to stop planning and finally launch something real—this workshop is for you.

<h3>For HR / Non-Tech</h3>Build a real website with payments using Lovable without coding and launch your idea

<h3>For Creators &amp; Freelancers Create a personal site using Lovable to showcase work and accept payments directly</h3>

<h3>For Founders &amp; Builders Quickly validate ideas by launching a website with payments using Lovable in hours</h3>

Learn the basics of how AI works and set up your own personal AI System, with a digital twin and tools to automate your workflow.

6x Founder. Builder. AI implementer.

Anthony Franco

Built & Sold 6 Tech Companies | Author AI First Principles and the WISER Method

Every professional has access to ChatGPT, Claude, Gemini. But access isn't advantage.The professionals who will thrive operate AI as a system. They build tools that compound. They create digital extensions of themselves that work continuously, not just when prompted.Right now, a small group of practitioners has made this shift. They're working with AI systems that remember, maintain context, and automate entire workflows. While others type prompts into ChatGPT, they've built personal AI operations that multiply their output.This course closes that gap in two sessions.You won't learn prompting techniques. You'll build a working AI system, trained in your voice, solving your actual workflows during the live sessions. Not someday. Now.By the end of this course, you'll wonder how you ever worked without it.

The Gap Between AI Users & Operators Defines Careers. Close it in 2 Sessions.

Understand How AI Works Under the Hood—Not Just How to Prompt It

Build a Personal Digital Twin That Thinks, Writes, and Works in Your Voice

Create Custom Tools and Production Workflows You Use the Day After Class

Learn from a Cohort of Practitioners Solving the Same Problems You Are

Leaders and managers who want to leverage AI for themselves before rolling it out to their teams. Lead by example, not mandate.

Practitioners who want personal AI systems that extend their output. Analysts, marketers, strategists, project managers, consultants.

Entrepreneurs and founders who wear every hat and need to scale themselves before they can scale their business.

Agentic AI

Coding with AI

AI Workflows

Claude Code

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Introduction and Session Setup

About the Speaker: A Business-First Approach to AI

Session Agenda Overview

The Business Case: Improving Customer Relationships

System Design: From Customer to AI and Back

Building in Mind Studio: Setup and Routing

Connecting Mind Studio to Lovable

Live Demo, Guardrails, and Debugging

Practical Use Cases for Your AI Chatbot

Advanced Demo: AI-Powered Product Recommendations

Course Wrap-up and Assignment

Audience Q&A

Product managers who drive strategy, development, and launch of products.

Engineers and engineering leaders who build, deploy, and scale software systems.

Marketers who drive brand awareness, customer acquisition, and growth across channels.

Startup founders building new businesses, from MVP to scale.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Automating professional workflows with AI tools — productivity, operations, and task automation.

Generating qualified pipeline through inbound and outbound programs — lead scoring, nurture campaigns, and conversion optimization.

Using AI tools like Cursor, Replit, and Lovable to build and ship functional software without a traditional engineering background.

Build a Lead-Gen AI Chat Bubble With MindStudio & Lovable

What you'll learn

Why this topic matters

You'll learn from

Sol Farahmand